48883 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 48883 Zip Code | Michigan | U.S. |
Total Housing Units | 3,075, 100% | 4,532,719 | 132,741,033 |
1 Room | 8, 0.26%, see rank | 1.24% | 1.95% |
2 Rooms | 30, 0.98%, see rank | 1.78% | 2.48% |
3 Rooms | 130, 4.23%, see rank | 7.14% | 9.13% |
4 Rooms | 388, 12.62%, see rank | 14.38% | 16.60% |
5 Rooms | 527, 17.14%, see rank | 21.00% | 20.41% |
6 Rooms | 622, 20.23%, see rank | 20.07% | 18.06% |
7 Rooms | 540, 17.56%, see rank | 13.45% | 12.27% |
8 Rooms | 333, 10.83%, see rank | 9.27% | 8.48% |
9 Rooms or More | 497, 16.16%, see rank | 11.67% | 10.60% |
Median Rooms | 6.20, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 48883 Zip Code | Michigan | U.S. |
Total Housing Units | 2,901, 100% | 4,531,958 | 131,642,457 |
1 Room | 12, 0.41%, see rank | 1.23% | 1.95% |
2 Rooms | 28, 0.97%, see rank | 1.68% | 2.36% |
3 Rooms | 121, 4.17%, see rank | 6.94% | 8.97% |
4 Rooms | 356, 12.27%, see rank | 14.40% | 16.57% |
5 Rooms | 574, 19.79%, see rank | 21.17% | 20.41% |
6 Rooms | 624, 21.51%, see rank | 20.13% | 18.25% |
7 Rooms | 425, 14.65%, see rank | 13.55% | 12.38% |
8 Rooms | 347, 11.96%, see rank | 9.29% | 8.59% |
9 Rooms or More | 414, 14.27%, see rank | 11.61% | 10.52% |
Median Rooms | 6.10, see rank | 5.70 | 5.50 |
US Census 2000 data
| 48883 Zip Code | Michigan | U.S. |
Total Housing Units | 2,842, 100% | 4,234,279 | 115,904,641 |
1 Room | 9, 0.32%, see rank | 1.18% | 2.20% |
2 Rooms | 32, 1.13%, see rank | 3.20% | 4.81% |
3 Rooms | 127, 4.47%, see rank | 7.87% | 9.84% |
4 Rooms | 390, 13.72%, see rank | 14.15% | 15.97% |
5 Rooms | 623, 21.92%, see rank | 22.63% | 20.89% |
6 Rooms | 617, 21.71%, see rank | 20.84% | 18.45% |
7 Rooms | 467, 16.43%, see rank | 13.27% | 12.06% |
8 Rooms | 304, 10.70%, see rank | 8.62% | 8.06% |
9 Rooms or More | 273, 9.61%, see rank | 8.24% | 7.70% |
Median Rooms | 5.90, see rank | 5.50 | 5.30 |
* ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.